Python Pandas DataFrame 缺失值填充：以后值填充

import pandas as pd
import numpy as np

L1 = [[3, 5, 7], [8, None, 6], [None, 4, 9]]
DF1 = pd.DataFrame(L1)

# 判断DF1第2列第2行是否为缺失值
if pd.isnull(DF1.iloc[1, 1]):
    # 以后值填充的方式填充DF1的缺失值
    DF1.iloc[1, 1] = DF1.iloc[1, 2]

print(DF1)

输出结果如下：

     0    1  2
0  3.0  5.0  7
1  8.0  6.0  6
2  NaN  4.0  9